5 papers
EgoTactile: Learning Grasp Pressure for Everyday Objects from Egocentric Video
Yuan Zeng, Yujia Shi, Tiao Tan +6
Estimating full-hand grasp pressure from egocentric video is critical for immersive VR and robotic manipulation, yet dense tactile sensing often relies on intrusive hardware. Exist…
ForeSplat: Optimization-Aware Foresight for Feed-Forward 3D Gaussian Splatting
Yuke Li, Weihang Liu, Cheng Zhang +8
Feed-forward 3D Gaussian Splatting models offer fast single-pass reconstruction,but scaling them to match per-scene optimization quality is fundamentally hindered by the scarcity o…
AffordGrasp: Cross-Modal Diffusion for Affordance-Aware Grasp Synthesis
Xiaofei Wu, Yi Zhang, Yumeng Liu +3
Generating human grasping poses that accurately reflect both object geometry and user-specified interaction semantics is essential for natural hand-object interactions in AR/VR and…
CADSpotting: Robust Panoptic Symbol Spotting on Large-Scale CAD Drawings
Fuyi Yang, Jiazuo Mu, Yanshun Zhang +7
We introduce CADSpotting, an effective method for panoptic symbol spotting in large-scale architectural CAD drawings. Existing approaches often struggle with symbol diversity, scal…
CityGo: Lightweight Urban Modeling and Rendering with Proxy Buildings and Residual Gaussians
Weihang Liu, Yuhui Zhong, Yuke Li +8
Accurate and efficient modeling of large-scale urban scenes is critical for applications such as AR navigation, UAV based inspection, and smart city digital twins. While aerial ima…